Sanat K. Sarkar
Statistics, Operations, and Data Science
Chair; Cyrus H. K. Curtis Professor
  • Office Location1810 Liacouras Walk, Room 333
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Dr. Sanat K. Sarkar is an internationally recognized researcher who has made fundamental contributions to the development of the field of multiple testing toward its applications in modern scientific investigations, such as in genomics and brain imaging.

His research has been funded by the National Science Foundation and the National Security Agency, and often been cited in peer-reviewed journals. He has delivered invited talks at numerous national and international conferences.

He co-organized a major conference on Multiple Comparisons funded by the NSF-CBMS and severed on the organizing committees of several international conferences on the same topic. He has served on the editorials boards of several respectable journals, like the Annals of Statistics, the American Statistician, and Sankhya.

Dr. Sarkar has been recognized as a fellow by both the Institute of Mathematical Statistics and the American Statistical Association, and as an elected member of the International Statistical Institute. He was awarded the Musser Award for excellence in research by the Fox School and inducted several times to the Dean’s Research Honor Roll.

Research Areas

  • Multiple Testing
  • Statistical Methodologies
  • High-Dimensional Statistical Inference
  • Multivariate Statistics



  • 2016 – present Full Professor, Department of Statistical Science, Temple University, Philadelphia, PA
  • 1994 – 2016 Full Professor, Department of Statistics, Temple University, Philadelphia, PA
  • 1988 – 1994 Associate Professor, Department of Statistics, Temple University, Philadelphia, PA
  • 1983 – 1988 Assistant Professor, Department of Statistics, Temple University, Philadelphia, PA
  • 1982 – 1983 Adjunct Assistant Professor, Department of Statistics, Temple University, Philadelphia, PA
  • 1980 – 1982 Research Associate, Department of Mathematics and Statistics, University of Pittsburgh, Pittsburgh, PA
  • 1976 – 1980 Lecturer, Department of Statistics, Calcutta University, Calcutta, India


  • 2019 Member, Advisory Board, Prosoft Clinical and LogEcal Data Analytics, Wayne, PA
  • 2008 Member, Scientific Advisory Committee, Merck Research Labs,
  • 2007 Statistical Consultant, Novartis Pharmaceuticals
  • 2006 Statistical Consultant, Cephalon Inc.
  • 1991 – 2000 Statistical Consultant, Merck Research Lab, Blue Bell, PA
  • Summer, 1991 Senior Biometrician, Merck Research Lab, Blue Bell, PA
  • Summer, 1986 Visiting Scientist, Epi-Stat Research Lab, Fox Chase Cancer Research Center, Philadelphia, PA


(2001) Co-Editor Applied Statistical Science V, Nova Science Publishers, Inc., New York

(2004) Co-Editor Recent Developments in Multiple Comparisons, IMS Lectures Notes- Monograph Series, Volume 47 (Book Link)

Selected Publications

The Simes method for multiple hypothesis testing with positively dependent test statistics.” Journal of the American Statistical Association, 92, 1601-1608, 1997 (with C-K. Chang).

Probability inequalities for ordered MTP2 random variables: A proof of the Simes conjecture.” Journal of the American Statistical Association, 92, 1601-1608, 1997 (with C-K. Chang).

Some results on false discovery rate in stepwise multiple testing procedures” Annals of Statistics, 30, 239-257, 2002.

False discovery and false non-discovery rates in single-step multiple testing procedures.” Annals of Statistics, 34, 394-415, 2006.

Stepup procedures controlling generalized FWER and generalized FDR ” Annals of Statistics, 35, 2405-2420.

Generalizing Simes’ test and Hochberg’s stepup procedure” Annals of Statistics, 36, 337-363, 2008.

On methods controlling the false discovery rate” Sankhya, Ser A. 70, Part 2, 135 -168, 2008.

An adaptive step-down procedure with proven FDR control.”Annals of Statistics, 37, 619-629, 2009 (with Y. Gavrilov and Y. Benjamini)

On a generalized false discovery rate. ” Annals of Statistics, 37, 1545-1565, 2009. (with W. Guo)

Controlling false discoveries in multidimensional directional decisions, with applications to gene expression data on ordered categories” Biometrics, 66, 485-492, 2010 (with W.Guo and S. Peddada)

Multiple testing in a two-stage adaptive design with combination tests controlling FDR” Journal of the American Statistical Association, 108, 1385-1401, 2013 (with J. Chen and W. Guo).

Applying multiple testing procedures to detect changes in east African vegetation.” Annals of Applied Statistics, 8, 286-308, 2014 (with N. Clements, Z. Zhao, and D-Y. Kim).

Further results on controlling false discovery proportion”, Annals of Statistics, 42, 1070-1101, 2014. (with H. Li and W. Guo).

Improving Holm’s Procedure using pairwise dependencies”, Biometrika, 103, 237-243, 2016 (with Y. Fu and W. Guo).